This study applies the concept of regret in decision-making under uncertainty to an energy system optimization model to identify optimal robust and stochastic solutions amongst several design options. The approach is demonstrated on the case study of Accra, Ghana, considering uncertainties...

The global energy landscape is undergoing a major transformation, upending decades of economic thinking built around resource scarcity. Unlike fossil fuels – continuously extracted from finite, geographically fixed deposits – renewable energy revolves around manufacturing technology that...

Long-term planning tools compute investment in energy technologies to reach techno-economic objectives. These tools are typically used to define decarbonization pathways with the corresponding capacities for several types of technologies. However, for most renewable-based resources that are...

This paper highlights the relevance of Granger non-causality tests in energy economics research, particularly for informing public policy decisions. While approaches such as CS-ARDL and estimators like AMG and CCEMG are widely used, they do not fully capture the predictive relationships between...

The proliferation of environmental pollutants, the financial implications of energy transmission and distribution, the scale of electrical network assets, and the accessibility and finite nature of fossil fuels collectively constitute significant catalysts for the progression of renewable...

During the energy crisis in 2022, electricity prices in Germany soared to unprecedented levels. To explore the drivers of the high electricity prices, we develop an electricity dispatch model that simulates hourly equilibrium prices under the assumption of perfect competition. We then extend...